Job Description

ROLE PURPOSE:

Data Platform & Pipeline Development

• Design, build, and maintain scalable data pipelines to extract, transform, and load data from retail, warehouse, POS, and e-commerce systems.

· Develop ETL/ELT workflows supporting multiple data sources and formats including APIs, databases, and file imports.

· Implement data models optimized for analytics, reporting, and business insights.

API Development & System Integration

· Build integration solutions for legacy systems lacking modern API capabilities.

· Develop middleware services for data transformation and format conversion.

· Implement authentication, error handling, logging, and monitoring for APIs.

Analytics & Machine Learning Support

· Develop feature engineering pipelines to support machine learning models.

· Build scheduled batch workflows for analytics and reporting tasks.

· Create data exports for BI tools and reporting platforms.

Collaboration & Stakeholder Engagement

· Collaborate with Full-Stack Engineers and other IT team members on system integrations.

· Participate in Agile ceremonies such as sprint planning, stand-ups, and retrospectives.

· Conduct and participate in code reviews following engineering best practices.

Job Requirements

• Experience with AI-assisted development tools (e.g. GitHub Copilot, Cursor).
• Exposure to real-time data streaming technologies (Kafka, Pub/Sub).
• Familiarity with data quality frameworks or validation tools.
• Basic exposure to Infrastructure as Code (Terraform, CloudFormation).
• Experience with data visualization tools or BI platforms.
• Prior experience in retail, e-commerce, ERP, POS, or high-volume data systems.
• Agile/Scrum working experience.
• Able to frequent travel between KL and Ipoh Office HQ

Skills